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Announcements

ODPi Members IBM, SAS and Index Analytics Share How to Leverage Business Intelligence and Big Data for better ROI in New White Paper

By | Announcements

SAN FRANCISCO – December 13, 2018 – ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced a new white paper that showcases how ODPi members IBM, SAS, Index Analytics and other technical contributors leverage Business Intelligence (BI) and Big Data for better ROI. The annual research takes the pulse of industry leaders and displays insight into how BI can be addressed by Hadoop through multi-structured data and advanced big data analytics.

“It doesn’t matter how much data you have; unless you can get the insight from it, it is just bits and bytes occupying the storage,” said Cupid Chan, CTO at Index Analytics. “As more traditional businesses evolve to digital transformation, they need to be leveraging true BI and Big Data into their products and services to get the results they want.”

By 2020, the accumulated volume of big data will increase from 4.4 zettabytes to roughly 44 zettabytes or 44 trillion GB and companies will be charged with turning this data into insight. Big data technologies like Hadoop have become an ecosystem of open source projects that provide processing engines to perform data transformation and analysis. Many businesses, however,  don’t know how to combine the BI with Big Data to get insightful business value.

ODPi’s newest white paper presents best practices for combining BI and Big Data. ODPi members IBM and SAS and current technical contributors from other BI vendors including Qlik, MicroStrategy and Tableau share real end-user perspectives on how they are using big data tools, the challenges they face and where they are looking to enhance their investments.

Their unique perspectives highlight includes:

  • The preferred BI/SQL Connector (Hive, Presto, Impala…etc) for their BI Tool to connect to Hadoop
  • Best practices to connect to both Hadoop and RDBMS
  • Recommended BI architecture to query data in Hadoop
  • How BI runs advanced analytics including Machine Learn algorithm on Hadoop

As an industry practitioner and ODPi lead for the BI & AI Special Interest Group (SIG), Chan discussed and surveyed a few project members and contributors in the technical community to benchmark findings in this annual survey. To view the complete white paper, click here.

“As data sizes continue to grow, it becomes harder and harder to gain visual and analytic insights from it,” said Craig Rubendall, Vice President, Platform Research and Development at SAS. “To be successful, it is imperative to use practices and products built to handle the demands of this environment. SAS is proud to collaborate with the other contributors to share our experience and knowledge.”

Hosted by The Linux Foundation, ODPi is an industry effort that aims to accelerate the adoption of big data technologies. Through a vendor-neutral, industry-wide approach to data governance and data science, ODPi members bring maturity and choice to an open ecosystem. In fact, ODPi welcomes Index Analytics as a new member and participant in its growing ecosystem to concentrating on advancing strategies and initiatives for data science, BI and Artificial Intelligence (AI).

About the newest member:

Index Analytics has optimized IT solutions and improved our clients’ return on investment (ROI) by providing high-quality enterprise Health IT solutions to Federal & State government agencies. We encourage a culture of data curiosity at every implementation, championed by our experienced, dedicated personnel. This culture promotes meaningful outcomes for our clients and a strong sense of partnership throughout the process.

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org

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Attunity and ING Join ODPi To Further Open Big Data Ecosystem

By | Announcements

New members support efforts to advance data governance and data science approaches

Berlin, Germany – April 16, 2018 – DataWorks Summit — ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced that Attunity and ING have joined the initiative to advance data governance and data science approaches.

Many vendors have focused on productizing Apache Hadoop® as a distribution, which led to inconsistency that increased the cost and complexity for application vendors and end-users to  fully embrace Apache Hadoop. Founded in 2015, ODPi is an industry effort to accelerate the adoption of Apache Hadoop and related big data technologies. ODPi’s members aim to accelerate Apache Hadoop adoption through a neutral, industry-wide approach to data governance and data science. Together, they are supporting the mission of creating an open data ecosystem through collaboration with subject matter experts and data platform and tools vendors.

The Big Data market has, in part due to efforts by ODPi and its members, achieved the desired simplification of the Apache Hadoop landscape. However, barriers to broader and more rapid enterprise Hadoop adoption exist and can benefit from a neutral, industry-wide approach to data governance and data science,” said John Mertic, director of program management, ODPi. “We are thrilled to have Attunity and ING on board as ODPi members to help us further these industry-wide approaches.”

The new ODPi members will join a diverse and growing group of members that include well-known Apache Hadoop software companies, service providers and end users, as well as a rapidly growing community.

ING Information Architect and Application Developer, Maryna Strelchuk, and ODPi Director of Program Management, John Mertic, will be co-presenting at DataWorks Summit on The rise of big data governance: Insight on this emerging trend from active open source initiatives.

About the newest members:

Attunity is a leading provider of modern data integration and Big Data management software solutions that enable availability, delivery, and management of data across heterogeneous enterprise platforms in organizations worldwide. Its flagship solution, with change data capture technology, offers real-time data integration and ingestion across all databases, data warehouses, Hadoop and the cloud. Leading businesses choose Attunity to enable data lakes for real-time analytics, and ultimately, maximize the value of their IT and data investments.

“Attunity is excited to become a member of ODPi, helping to set a vision and technology ecosystem for metadata management that will benefit enterprises building modern data architectures,” said Itamar Ankorion, Chief Marketing Officer at Attunity. “Attunity shares ODPi’s belief that automated discovery and maintenance of metadata has to be an integral part of all modern data integration tools like ours that access, change and move information. We look forward to being part of ODPi’s efforts to standardize, support and accelerate growth of the Big Data Ecosystem.”

ING is a global financial institution with a strong European base, offering banking services. We draw on our experience and expertise, our commitment to excellent service and our global scale to meet the needs of a broad customer base, comprising individuals, families, small businesses, large corporations, institutions and governments. Our customers are at the heart of what we do.

“ING decided to become a member of ODPi to help drive standardization around open metadata,” said Ferd Scheepers, Chief Information Architect at ING. “Analytics is one of our strategic priorities, and we believe that standardization of metadata is a key enabler to be successful with analytics. ODPi as an independent group plays a key role in helping standardization across vendors, for ING the key reason to join and support ODPi.”

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference platform called ODPi Core. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org

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Media Contact:

Natasha Woods

ODPi

(415) 312-5289

pr@odpi.org

ODPi Launches Apache Bigtop Grant Fund Program

By | Announcements

Bigtop “Test Drive” Grant Program to further enterprise-wide production of Apache Hadoop

SAN FRANCISCO, June 13, 2017 – ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced Apache™ Bigtop “Test Drive” Grant Program, a new grant funding program designed to increase developer involvement in the Apache Software Foundation (ASF) project. Through the program, ODPi is investing $50,000 to fund developer work with the world’s top Apache and big data developers and architects to expand Bigtop’s functionality and usability.

To apply to participate in the Bigtop “Test Drive” Grant Program, submit proposals here by Friday, July 14 at 11:59pm PST.

“By launching this program, we benefit the enterprise end-user, developers, and ultimately build a stronger relationship with the Apache Software Foundation and the big data communities hosted by it,” said Roman Shaposhnik, VP of Technology for ODPi and Apache Hadoop and Bigtop committer and ASF member. “We encourage the community to apply for a Bigtop grant and work alongside ODPi member companies IBM, SAS, Hortonworks, Splunk, GE and others as we strengthen and extend Apache Bigtop.”

Apply to Apache Bigtop “Test Drive” Grant Program

The ODPi Technical Steering Committee (TSC) is looking for Apache Hadoop ecosystem developers and/or big data practitioners building solutions for in-house or external clients to help further the features in Bigtop. This might be software development, developing new teaching materials, documenting best practices, standardizing APIs or doing research. The program will allow developers to hone their skills, build relationships with leading big data companies and earn monetary compensation. Beyond financial support, the TSC can also provide administrative support, promotion and some collaboration tools.

The program will run for six months, beginning August 1, 2017 and ending February 2, 2018. All participants will be given a dedicated mentor from the TSC and will be required to report their progress to the TSC on a monthly basis (first Thursday of each month). The TSC reserves the right to remove participants from the program.

Applicants will need to write a two to four-page proposal that describes the Bigtop problem they want to solve and the funding needed to solve the problem. The TSC will review all proposals and accepted program applicants will be announced Monday, July 31, 2017. Details regarding the proposal, including the submission process, can be found at here.

The ODPi investment means a lot to the Bigtop community,” said Evans Ye, Bigtop’s PMC Chair. “It marks a new milestone that the project not only supports distro vendors, but also, at a higher level, enterprises looking to increase their use of hybrid big data. I believe we’ll have great synergy because ODPi and Bigtop are both committed to making the big data ecosystem more open, connected and relevant.”

A comprehensive packaging, testing, and configuration suite of the leading open source big data components, Apache Bigtop supports a wide range of components/projects, including Hadoop, HBase and Spark. Grants will be awarded for work in the following functional areas: building, continuous integration (CI), testing, deployment, supported platform coverage, and list of supported big data components to expand the platform and set of tools for building standardized big data deployments. By enhancing automation and CI, extending the testing functionality and improving deployment, Bigtop will provide the big data operational predictability that enterprises require.

“In order to confidently expand Apache™ Hadoop® to enterprise-wide production use, businesses need to know that their preferred big data stacks will run predictably and Apache Bigtop can provide this confidence,” said John Mertic, Director, ODPi. “By launching Bigtop “Test Drive” Grant Program, ODPi is helping to add Bigtop functionality that will make the project even more valuable to enterprise end-users.”

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference specification. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org

The Linux Foundation, ODPi and edX Announce New, Free Intro to Apache Hadoop Course

By | Announcements

Massive Open Online Course (MOOC) to provide students with basic knowledge of the leading Big Data processing software

 SAN FRANCISCO – March 30, 2017 – The Linux Foundation, the nonprofit advancing professional open source management for mass collaboration, today announced its newest massive open online course (MOOC) is available for registration. The course, LFS103x – Introduction to Apache Hadoop, is offered through edX, the nonprofit online learning platform launched in 2012 by Harvard University and Massachusetts Institute of Technology (MIT). This free course will begin in early June.

This is the fifth edX MOOC offered by The Linux Foundation. Its first course, Intro to Linux, has reached more than 800,000 students globally and continues to grow in registrations. The others are Intro to Cloud Infrastructure Technologies, Introduction to OpenStack and Introduction to DevOps: Transforming and Improving Operations.

Apache Hadoop is an open source project used for distributed processing of large sets of data. It is used by organizations large and small around the world to manage and analyze the massive amounts of data being created every single second of every day. A large number of additional open source software projects exist that can be installed and run on top of or alongside it to provide additional functionality. According to 451 Research, Hadoop will advance at a 38 percent compound annual growth rate (CAGR) through 2020 and reach $4.4 billion in revenue by 2020.

At the same time, the demand for individuals who have experience managing this platform is also accelerating. According to the IT Skills and Certifications Pay Index research from Foote Partners, “the need for big data skills also continues to lead to pay increases – about 8 percent over the last year,” making this an ideal time for individuals to start a career managing Big Data with Apache Hadoop.

“As innovation across the Hadoop landscape continues to skyrocket, we’re thrilled to provide accessible, vendor-neutral education for the Big Data community,” said ODPi’s Director, John Mertic. “ODPi is committed to reducing ecosystem complexity and, with Roman Shaposhnik leading this ‘Introduction to Apache Hadoop’ edX course, we look forward to sharing insights that make Hadoop manageable for organizations of all sizes.”

LFS103x is taught by Hadoop experts from The Linux Foundation’s ODPi project, which is committed to simplification and standardization of the big data ecosystem with common reference specifications and test suites. Shaposhnik, VP of Technology for ODPi at The Linux Foundation and the course instructor, is also a committer on Apache Hadoop, co-creator of Apache Bigtop, and contributor to various other Hadoop ecosystem projects. He is also an Apache Software Foundation member and a former Chair of Apache Incubator.

Students in the course will learn:

  • The origins of Apache Hadoop and its big data ecosystem
  • Deploying Hadoop in a clustered environment of a modern day enterprise IT
  • Building data lake management architectures around Apache Hadoop
  • Leveraging the YARN framework to effectively enable heterogeneous analytical workloads on Hadoop clusters
  • Leveraging Apache Hive for an SQL-centric view into the enterprise data lake
  • An introduction to managing key Hadoop components (HDFS, YARN and Hive) from the command line
  • Securing and scaling your data lakes in multi-tenant enterprise environments

“In today’s high-tech world, more data is created every day and increasingly organizations need professionals qualified to analyze it,” said edX CEO and MIT Professor Anant Agarwal. “We are pleased to again partner with The Linux Foundation to increase access to in-demand education, helping to bring Apache Hadoop expertise into the Big Data industry.”

The course includes six chapters, each with a short graded quiz at the end. A final exam is also required in order to complete the course. Students may take the complete course at no cost, or add a verified certificate of completion for $99.

For more information on The Linux Foundation’s training and certification programs, please visit:  http://training.linuxfoundation.org.

 About The Linux Foundation

The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and commercial adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at www.linuxfoundation.org.

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference specification. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop®and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.odpi.org.

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Media Contact:

Natasha Woods

ODPi

(415) 312-5289

pr@odpi.org

ODPi Grows Its Membership With International Set of Data-Driven Companies

By | Announcements

China Mobile, High Octane, Innovyt and LizardFS join mission to solidify ODPi as the essential Open Source companion for enterprise-wide production Hadoop

SAN JOSE – Strata + Hadoop World, March 14, 2017 – ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced China Mobile, High Octane, Innovyt and LizardFS have joined as members to help companies unlock value from disparate data and continue advancing the standardization of Apache™ Hadoop® and related big data solutions.

According to Brian Hopkins, VP & principal analyst at Forrester Research, a revenue model built by the firm – which included speaking to hundreds of firms and pouring over three years of survey data with nearly 10,000 responses – conservatively forecasted that insights-driven businesses would earn about $400 billion in 2016; however, by 2020 they will be making over $1.2 trillion a year due to an astonishing compound annual growth rate between 27 percent and 40 percent.

“ODPi is committed to serving the big data ecosystem by facilitating standardization and ensuring Hadoop reaches its full potential as an enterprise-wide production big data platform,” said John Mertic, Director, ODPi. “We’re thrilled to have a breadth of companies from China, Belgium, Poland and the U.S. join our efforts in validating big data as a sustainable, long-term area of investment for organizations worldwide.”

These new members bring the ODPi network of collaborative big data startups, enterprise service providers and software-driven end users to more than 35 companies – signifying the ecosystem’s growing desire to make Hadoop accessible and ready for every organization around the world.

About the newest members:

China Mobile is the biggest telecom operator in the world. The open source offerings extended by China Mobile Software Technology, including Hadoop product and professional services, serve more than 826 million customers.

“Becoming a member of ODPi will not only make customers’ choices among various Hadoop distributions far easier, but it will also help to build their confidence in China Mobile’s Hadoop product,” said Shaoling Sun, Executive Vice President of China Mobile Software Technology. “As industry compliance is the top priority of our big data products, we hope to soon have a unified, standard Hadoop version of the interface built on the ODPi reference specification.”

High Octane is a Belgium-based consulting firm, focused on companies’ enterprise architecture to help strategize, materialize and execute on their big data visions.

“High Octane is proud to join ODPi, as the organization is close to the upstream projects and focuses on a long-term operational view,” said Philippe Back, founder of High Octane. “As long-time believers in open source software, ODPi is a great vendor-neutral venue for us to share our Hadoop insights and learn from the ecosystem feedback provided by end users and SIGs from the field.”

Innovyt is a big data consulting company specializing in advanced analytics, cloud and data science focused on ensuring its customers can implement modern data-driven applications using big data technologies. Its team is committed to building a set of solution-centric frameworks that will expedite the implementation of leading platforms, like Hadoop.

“ODPi’s initiative to create interoperability and compliance for production Hadoop are incredibly meaningful – as these will provide our customers with standards, best practices and a common language,” said Vineet Kumar, founder of Innovyt. “We look forward to learning and contributing to open standards through our partnership with ODPi.”

LizardFS – an open-source Distributed File System licensed under GPLv3 – was developed and distributed by Skytechnology in Warszawa, Poland. The scalable, fault-tolerant and highly-available file system ensures security by storing all data in many replicas spread across all available nodes and can be used to build affordable storage cluster.

“Our membership to ODPi will enable LizardFS to take part in creating an industry standard for big data solutions and resolving challenges the industry faces, especially as it relates to the storage of data,” said Simon Haly, CSO of LizardFS. “We’re eager to join the initiative’s efforts and look forward to the direction ODPi gives companies just starting their journey in this thriving ecosystem.”

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference specification. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.odpi.org

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Media Contact:

Natasha Woods

ODPi

pr@odpi.org

ODPi Publishes First Operations Specification To Provide Developers Consistency Across Application Management Tools

By | Announcements

Leveraging Apache Ambari, Apache Hive and Hadoop Compatible File System support, ODPi 2.0 Release Standardizes Deployment Model for Enterprise Big Data Solutions   

Seville, Spain – Apache: Big Data Europe, November 14, 2016 — ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced the availability of ODPi 2.0, which includes the first release of the ODPi Operations Specification and the Runtime Specification 2.0, to standardize the development model for big data solution and application providers and help enterprises improve installation and management of Hadoop-based applications.

With more than 30 members, including recently announced DriveScale, Redoop, and Xavient Information Systems, ODPi is focused on simplification and standardization within the big data ecosystem and further advancing the work of the Apache Software Foundation. Designed to make it easier to create big data solutions and data-driven applications, ODPi adds Apache Hive and Hadoop Compatible File System support (HCFS) as part of the ODPi Runtime Specification 2.0. Additionally, the ODPi 2.0 release includes Operations Specification 1.0, which provides standard guidelines for application management tools serving as reference platforms; including Apache Ambari.

“With the release of the first Operations Specification, ODPi is moving standardization forward for Apache projects in a pragmatic, fluid way that embraces developer input,” said John Mertic, Director of ODPi. “ODPi specifications are based input from developers and enterprises and how they are actually big data technologies in production environment and address real issues they’ve encountered. Our technical team developed this latest release knowing that the SQL layer, backend storage, and how applications should be installed, managed and configured in a Apache Hadoop cluster are important to them. We’ll continue to iterate on previous releases and seek industry input to ensure that we are tackling the critical issues that benefit the wider big data ecosystem.”

Key ODPi Operations Specification 1.0 Technical Features

The ODPi Operations Specification 1.0 provides standard guidelines for application management tools, with Apache Ambari as a reference platform, the Apache Software Foundation project for provisioning, managing, and monitoring Apache Hadoop clusters. By providing common expectations in guidelines, developers are able to create data-driven applications for all management tools used by platform providers. For big data solution and application providers, this minimizes the complexity, cost and training needed to build big data applications.

ODPi community worked closely with the Apache Ambari community to develop the Operations Specification, ensuring backward compatibility with the standardization and alignment with the community’s needs. ODPi community further designed this spec such that other management tools could attain compliance.

Similar to Spark, Ambari is a rapidly changing project. In working on the latest release, ODPi’s technical team collected substantial Ambari institutional knowledge, which they’ve contributed to Ambari. The reference manual will help developers more easily write an application for Ambari to manage their applications.

Key ODPi Runtime Specification 2.0 Technical Features

ODPi Runtime Specification 2.0 adds Apache Hive and Hadoop Compatible File System support (HCFS) components to Yarn, MapReduce and HDFS from ODPi Runtime Specification 1.0. HCFS support will enable storage and cloud vendors to leverage ODPi standards, empowering them to use their native storage solutions as part of an ODPi Runtime Compliant Hadoop Platform and reduce the incompatibilities that end users face. By including Apache Hive, ODPi will reduce SQL query inconsistencies across Hadoop Platforms. ODPi based its work on Hive version 1.2 and has included core functionality that will continue to behave in a standard way for future versions of Apache Hive. For more on this addition, read ODPi technical steering committee chair Alan Gates’ blog.

ODPi Compatibility and Interoperability

Several Apache Hadoop platform and big data solution and application providers; including Ampool, Hortonworks, IBM, Pivotal, and SAS have committed to testing against ODPi 2.0 to become ODPi Compliant and ODPi Interoperable. They have the ability to test against both the Operations Specification 1.0 and Runtime Specification 2.0 separately; offering greater simplicity for big data solution and application providers. This option provides end-users greater choice and flexibility by fostering an open big data ecosystem that transcends traditional vendor alliances.

For more on how ODPi is helping enterprises boost the value they get from Hadoop and Big Data, read Rouda’s recent whitepaper and listen to the accompanying webinar.

Comments from Members

Ampool

“Since the founding of ODPi, Ampool has been committed to helping to drive standardization both in the organization and in how our data services interoperate with multiple Hadoop platforms. With the release of the first operations specification, we’re looking forward to submitting Ampool’s Active Data Store for compliance in the coming months.” – Milind Bhandarkar, Ph.D., Founder and CEO, Ampool

IBM

“There is a major shift occurring on how data is treated within their organization. Fundamentally, it is no longer about the persistent stores, data in Hadoop, data in operational database and real-time streaming. It is about how that data is accessed in trust and used within an organization. By working with ODPi and committing to provide these organizations with a compliant platform they can count on and interoperable software that sits on top of Hadoop, including IBM Big SQL, IBM SPSS Analytic Server, IBM Big Replicate, and others, we are helping our customers build their businesses.” – Ritika Gunnar, Vice President of Offerings, IBM Analytics

Pivotal

“Complying with the latest version of the ODPi specification simplifies how Apache HAWQ can query the vast quantities of data in the popular Apache Hive format, and allows us to seamlessly integrate configuration and administration through Apache Ambari. ODPi is allowing us to roll out compatibility features with the Apache Hadoop ecosystem at a much faster pace.” – Jacque Istok, Head of Data Engineering, Pivotal Software

SAS

“As an ODPi member, we are reinforcing our commitment to ensuring that SAS applications work with and exploit the Hadoop distribution of our customers’ choice – while being able to bank on the stability and quality expected in demanding business environments. The availability of ODPi 2.0 allows us to more efficiently support our customers, while also enhancing the installation and management of the SAS application within their Hadoop environment.” – Craig Rubendall, Vice President of Platform R&D, SAS

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference specification. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.odpi.org.

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Media Contact:

Natasha Woods

ODPi

(415) 312-5289

pr@odpi.org

DriveScale, Redoop, and Xavient Information Systems Join ODPi To Create Interoperable Big Data Ecosystem

By | Announcements

New members rally around compliance efforts to help organizations optimize and streamline Apache Hadoop implementations

Seville, Spain – Apache: Big Data Europe, November 14, 2016 – ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced DriveScale, Redoop, and Xavient Information Systems have joined the organization to advance the simplification and standardization of Apache™ Hadoop® and related technologies.

With the incredible growth of Hadoop – forecasted to surpass $16 billion by 2020 – and related Apache project evolution, it has become difficult for developers to keep up with the pace of innovation. To make adoption of the platform more appealing to organizations looking to invest in big data technologies, ODPi members are committed to simplifying development and compatibility testing for applications.

“ODPi’s work to ensure interoperability of applications across a wide range of commercial Hadoop platforms is gaining momentum thanks to ongoing membership growth,” said John Mertic, director of program management, ODPi. “Hadoop has become a crucial part of any enterprise’s big data strategy. We are helping to mitigate complexity in the Hadoop ecosystem by facilitating standardization across big data technologies – ultimately spearheading newer and greater innovations.”

ODPi membership has grown to include more than 30 companies – encompassing industry-leading Apache Hadoop software companies, big data startups, enterprise service providers and end users.

About the newest members:

DriveScale provides a smarter way to build infrastructure for scale-out systems like Hadoop. Its composable data center architecture is provided via a set of on-premises and SaaS tools that coordinate between multiple levels of infrastructure. With DriveScale, companies can more easily support Hadoop deployments of any size, as well as other modern application workloads.

“Enterprises have varying big data needs that require flexible and interoperable platform components,” said Gene Banman, CEO of DriveScale. “Becoming a member of ODPi will allow us to better maximize data center efficiency for Hadoop with interoperability for enterprise-grade deployments.”

Redoop is a big data platform founded in China, devoted to ensuring enterprises reap the benefits of big data technology. Revolving around Hadoop Common to ensure a corresponding distributed system, Redoop provides the underlying optimization, system management, and data management to help enterprises build their own tailored data systems.

“Redoop believes that ODPi’s mission of creating a more open and interoperable ecosystem for current and potential Apache Hadoop users is meaningful to the entire big data community,” said XiaoJun Tong, founder of Redoop. “We look forward to joining the initiative and collaborating with its members for the benefit of our customers.”

Xavient is a global IT consulting and software services company, focusing on transforming business ideas into effective solutions. Xavient was among the first five solution and application providers to pledge a commitment to the ODPi Interoperable Compliance Program for its DiP (Data Ingestion Platform) – a real-time data analysis application – ensuring its ability to successfully run on multiple ODPi Runtime Compliant Platforms.

“Xavient is committed to providing customers with tailored capabilities and solution flexibility and making our real-time data analysis solution interoperable with ODPi Compliance Program applications was a natural next step,” said Neeraj Sabharwal, head of cloud, data & analytics at Xavient Information Systems. “We are thrilled to become a member of ODPi to contribute to an open big data ecosystem that transcends big vendor agendas.”

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference specification. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.odpi.org.

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Media Contact:

Natasha Woods

ODPi

(415) 312-5289

pr@odpi.org